1
Kerman Graduate University of Technology, Kerman, Iran
2
Shahid Bahonar University of Kerman, Kerman, Iran
Abstract
This paper is devoted to solve transmission expansion planning (TEP) problems, via a constructive heuristic algorithm (CHA) that can be employed as a sub-routine in a meta-heuristic procedure. In such a strategic methodology, CHA may improve the quality of trial solutions that speed up the convergence of the main algorithm. By introducing a “territory concept” for each derived local optimum, this paper proposes an approach, forcing CHA sub-procedures to explore new areas in the problem sub-space. Such modification is enforced to Villasana-Garver-Salon (VGS) algorithm, as a well-known kind of CHA, to improve its performance. The improved VGS is called territory-based VGS (TBVGS). In order to evaluate the performance of TBVGS, it is implemented on a meta-heuristic algorithm in which the performance of the obtained meta-heuristic algorithm is examined with different standard test systems as well as practical cases. Simulation studies and results analysis show a promising improvement caused in computational efficiency of the algorithm and even more important, finding a higher quality set of TEP local optimums.
Habibi, M. R., & Rashidinejad, M. (2015). Territory Concept to Improve Transmission Expansion Planning Problem Solution Algorithms. Scientia Iranica, 22(3), 1094-1101.
MLA
M. R. Habibi; M. Rashidinejad. "Territory Concept to Improve Transmission Expansion Planning Problem Solution Algorithms". Scientia Iranica, 22, 3, 2015, 1094-1101.
HARVARD
Habibi, M. R., Rashidinejad, M. (2015). 'Territory Concept to Improve Transmission Expansion Planning Problem Solution Algorithms', Scientia Iranica, 22(3), pp. 1094-1101.
VANCOUVER
Habibi, M. R., Rashidinejad, M. Territory Concept to Improve Transmission Expansion Planning Problem Solution Algorithms. Scientia Iranica, 2015; 22(3): 1094-1101.
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